Instructions to use GKLMIP/electra-khmer-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GKLMIP/electra-khmer-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GKLMIP/electra-khmer-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GKLMIP/electra-khmer-base-uncased") model = AutoModelForMaskedLM.from_pretrained("GKLMIP/electra-khmer-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
ca651f2 | 1 | {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |